Title :
Combined channel-modified adaptive array MMSE canceller and Viterbi equalizer for interferers with delay spread
Author :
Friedman, Richard ; Bar-Ness, Y.
Author_Institution :
CCSPR, New Jersey Inst. of Technol., University Heights, NJ, USA
Abstract :
We build on our previously reported concepts (see Friedman and Bar-Ness, Proc. Vehicular Technology Conf. (VTC), p.209-13, 2001) by investigating the performance of the canceller/MLSE when both desired and interfering signals are subject to multipath. In the earlier paper, it was shown that this very simple scheme, which couples a maximum-likelihood sequence estimator with an N-element canceller, is a receiver structure capable of canceling N-1 non-dispersive in-band interferers without compromising temporal equalization. The method makes use of the MLSE´s channel estimator to modify the locally generated training sequence used to obtain the antenna array weights. This increases the array´s degree of freedom for interference cancellation by allowing the dispersive-desired signal to pass through the array undisturbed. Temporal equalization of the desired signal is then accomplished using maximum-likelihood sequence estimation. The T-spaced channel estimator coefficients and the array weights are obtained simultaneously using minimum mean square error criteria.
Keywords :
adaptive antenna arrays; adaptive signal processing; array signal processing; channel estimation; delays; equalisers; interference suppression; least mean squares methods; maximum likelihood sequence estimation; radio receivers; radiofrequency interference; MLSE; MMSE canceller; Viterbi equalizer; adaptive array canceller; antenna array weights; channel estimation; channel-modified canceller; delay spread; in-band interferers; interference cancellation; interfering signals; maximum-likelihood sequence estimator; minimum mean square error criteria; multipath; nondispersive interferers; receiver structure; temporal equalization; Adaptive arrays; Delay; Dispersion; Diversity methods; Equalizers; Finite impulse response filter; Interference cancellation; Interference suppression; Maximum likelihood estimation; Viterbi algorithm;
Conference_Titel :
Spread Spectrum Techniques and Applications, 2002 IEEE Seventh International Symposium on
Print_ISBN :
0-7803-7627-7
DOI :
10.1109/ISSSTA.2002.1048619